Explore expert tips and strategies for tackling Plaid interview questions—ideal guidance for aspiring candidates, offering insights, and more.

Plaid Interview Questions + Guide in 2025

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

Plaid Interview Guides

<p>Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.</p>

<p>What factors could have biased this result, and what would you look into?</p>


<p>What could potentially bias the average boarding time in favor of an airline that only flies domestically?</p>

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

<p>You are testing hundreds of hypotheses with many <em>t</em>-tests. What considerations should be made?</p>


<p>What is a key disadvantage of the F-test when compared to multiple t-tests?</p>

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

<p>In an A/B test, how can you check if assignment to the various buckets was truly random?</p>


<p>In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?</p>

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

A/B Testing & Experimentation

Plaid Interview Questions

Plaid Salaries by Position

<div><h2>Sales Compensation Data Analyst</h2><p>We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</p><p>The GTM Operations & Strategy team partners closely with our go-to-market teams, including Sales, Account Management, Marketing, Professional Services, and Support, to drive revenue through cross-functional initiatives. The Sales Compensation group is responsible for designing, managing, and continuously improving Plaid's global sales incentive programs. We ensure that all plans are fair, accurate, and motivating, while aligning sales behavior with Plaid's strategic growth objectives. In this role, you will be responsible for the accuracy and timeliness of Plaid's variable compensation operations. You'll own payout validation, crediting audits, and performance reporting to ensure fairness and transparency across our global GTM organization.</p><h3>Responsibilities</h3><ul><li>Audit Salesforce opportunities for quota credit accuracy (closed-won validation, ownership reconciliation, MRR/ACV policy application)</li><li>Partner with RevOps, Finance, and Payroll on payout cycles</li><li>Build dashboards for attainment tracking and compensation health metrics</li><li>Support comp plan modeling and scenario analysis during annual planning and midyear updates</li><li>Validate monthly/quarterly sales compensation data in CaptivateIQ</li><li>Own end to end data infrastructure for sales comp attainment and commission processing</li><li>Partner with revenue accounting team to provide forecast on commissions accrual</li></ul><h3>Qualifications</h3><ul><li>4+ years of experience in data analysis, sales operations, or compensation roles</li><li>Advanced proficiency in Excel or Google Sheets</li><li>Strong experience with Salesforce reporting</li><li>Experience with CaptivateIQ or similar incentive compensation management (ICM) platforms</li><li>Familiarity with BI tools (e.g., Tableau) for building dashboards and performance reporting</li><li>Detail-oriented with excellent organizational and analytical skills</li><li>Proven ability to partner cross-functionally with Finance, RevOps, and Payroll teams</li></ul><p>$103,968 - $187,200 a year</p><p>The target base salary for this position ranges from $103,968/year to $187,200/year. The target base salary will vary based on the job's location. Our geographic zones are as follows:</p><p>Zone 1 - New York City and San Francisco Bay Area</p><p>Zone 2 - Los Angeles, Seattle, Washington D.C.</p><p>Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego</p><p>Zone 4 - Raleigh-Durham and all other US cities</p><p>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</p><p>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.</p><p>Please review our Candidate Privacy Notice <a href=https://plaid.com/legal/#candidate-privacy-notice>here</a>.</p></div>

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div><br /></div><div>The Network Enablement team’s mission is to amplify Plaid’s network effects by fostering trust and sharing intelligence with data partners.</div><div><br /></div><div>We build Trust & Fraud Insights (real-time Protect model scoring, two-way APIs/webhooks, and investigation tooling), Bank Intelligence (ML driven retention and account-primacy metrics and scalable batch pipelines), and the ml/data foundations (graph and sequence-embedding models plus unified feature pipelines and feature-store patterns).</div><div><br /></div><div>We own productionization and reliability for data partner facing ML — low-latency scoring, offline↔online parity, observability and drift detection, PII-safe handling and auditability — and collaborated closely with MLE, DS, Data Platform, Fraud, Foundational Modeling, Product, and Privacy to scale network intelligence.</div><div><br /></div><div>On this team you will build and operate the ML infrastructure and product services that enable trust and intelligence across Plaid’s network. You’ll own feature engineering, offline training and batch scoring, online feature serving, and real-time inference so model outputs directly power partner-facing fraud & trust products and bank intelligence features. You will integrate inference into product logic (APIs, feature flags, backend flows), build reproducible pipelines and model CI/CD, and ensure observability, reproducibility, and compliance as you scale our network capabilities. You’ll partner with Product, ML/Data Platform, Fraud, Foundational Modeling, MLE, DS, and Privacy to ship auditable, reliable ML solutions that move product KPIs</div>Responsibilities<ul><li>Embed model inference into Network Enablement product flows and decision logic (APIs, feature flags, backend flows).</li><li>Define and instrument product + ML success metrics (fraud reduction, retention lift, false positives, downstream impact).</li><li>Design and run experiments and rollout plans (backtesting, shadow scoring, A/B tests, feature-flagged releases) to validate product hypotheses.</li><li>Build and operate offline training pipelines and production batch scoring for bank intelligence products.</li><li>Ship and maintain online feature serving and low-latency model inference endpoints for real-time partner/bank scoring.</li><li>Implement model CI/CD, model/version registry, and safe rollout/rollback strategies.</li><li>Monitor model/data health: drift/regression detection, model-quality dashboards, alerts, and SLOs targeted to partner product needs.</li><li>Ensure offline and online parity, data lineage, and automated validation / data contracts to reduce regressions.</li><li>Optimize inference performance and cost for real-time scoring (batching, caching, runtime selection).Ensure fairness, explainability and PII-aware handling for partner-facing ML features; maintain auditability for compliance.</li><li>Partner with platform and cross-functional teams to scale the ML/data foundation (graph features, sequence embeddings, unified pipelines).</li><li>Mentor engineers and document team standards for ML productization and operations.</li></ul>Qualifications<ul><li><b>Must-haves:</b></li><li>Strong software engineering skills including systems design, APIs, and building reliable backend services (Go or Python preferred).</li><li>Production experience with batch and streaming data pipelines and orchestration tools such as Airflow or Spark.</li><li>Experience building or operating real-time scoring and online feature-serving systems, including feature stores and low-latency model inference.</li><li>Experience integrating model outputs into product flows (APIs, feature flags) and measuring impact through experiments and product metrics.</li><li>Experience with model lifecycle and operations: model registries, CI/CD for models, reproducible training, offline & online parity, monitoring and incident response.</li></ul><div><br /></div><ul><li><b>Nice to have</b>:</li><li>Experience in fraud, risk, or marketing intelligence domains.</li><li>Experience with feature-store products (Tecton / Chronon / Feast / internal) and unified pipelines.</li><li>Experience with graph frameworks, graph feature engineering, or sequence embeddings.</li><li>Experience optimizing inference at scale <span class="long-word">(Triton/ONNX/quantization,</span> batching, caching).</li></ul><div>The target base salary for this position ranges from $180,000/year to $270,000/year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div><br /></div><div>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div><br /></div><div>Bank payments is the top way that money is moved in the US, with over $86 trillion moved over ACH in 2024. Many of these transactions are subject to risk from various sources, including liquidity, fraud, and abuse, which leads to losses and bad experiences for businesses and consumers alike.</div><div><br /></div><div>Plaid’s Payment Risk team is building the future of bank payment risk tools and solutions, with the current version of our products already in heavy use by many of the largest names in fintech and beyond. We use proprietary AI and ML solutions to offer intelligent insights and decisions that save our customers billions of dollars, and are heavily investing in improving the power and reach of these solutions.</div><div><br /></div><div>While this team directly owns customer-facing APIs, we are also responsible for integrating these solutions into Plaid’s own money movement products. We build across the stack, including data & ML infrastructure, distributed backend systems, APIs and customer-facing tooling & insights.</div><div><br /></div><div>In this role, you will lead a team of engineers responsible for building and maintaining the infrastructure and systems that power both the offline and online components of the Signal Risk Platform. This role involves close partnership with the ML and data science team developing the AI and ML models that generate the transaction risk scores for customers, as well as collaboration with product counterparts to define the strategy, vision, and concrete roadmaps for both areas. A key part of your work will be to design and build APIs and Dashboard experiences used by thousands of Plaid customers, and to partner with the engineering team on technical planning and execution, ensuring the platform maintains high reliability (many 9's) and performs up to customer expectations for critical money movement flows.</div>Responsibilities<ul><li>Set and execute on technical strategy across systems, data, and ML infrastructure.</li><li>Set and maintain a high bar for quality and velocity for your team, leading by example and getting in the weeds of what your team is building.</li><li>Set and hit ambitious goals that represent delivering value to our customers and building robust foundations.</li><li>Hire, mentor and grow engineers across a range of seniority levels.</li><li>Run team process, including micro and macro-execution and collaboration across functions & teams.</li></ul>Requirements<ul><li>2+ years of engineering management experience with significant experience as a software engineer.</li><li>Experience owning a production product and working with a product manager and/or business partners to drive business impact.</li><li>Deep experience with distributed architecture and systems.</li><li>Track record of building and growing high performing engineering teams.</li><li>Experience working with machine learning-based technology and/or products, including knowledge of ML & data data infrastructure.</li></ul><div>Target base salary for this role is between $214,800 and $366,000 per year. Additional compensation in the form of equity and/or commission is dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div><br /></div><div>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div><br /></div><div>Plaid’s Remember Me network lets millions of consumers each month share their information effortlessly and securely through Link. The network is growing rapidly and delivers meaningful benefits for our customers, delivering an over 10% lift in conversion for returning users. Despite the massive growth, we’re just getting started – our team is also responsible for setting the foundation and vision for Plaid’s consumer-facing products in and outside of Link.</div><div><br /></div><div>As part of the Remember Me team, you will own a foundational pillar of our strategy: build meaningful features for consumers that enable economic freedom and improve trust in the financial ecosystem. You will lead product development and execution within a startup-like environment at Plaid, and iterate quickly based on learnings and consumer feedback. You will partner closely with partners across ML, design, and data to build something that can touch tens of millions of consumers enrolled in the Remember Me network.</div>Responsibilities<ul><li>Take a brand new consumer product 0-to-1 that benefits consumers, Plaid’s customers, and financial institutions</li><li>Own the vision and multi-year strategy and roadmap for Plaid’s consumer-facing efforts across web and native mobile platforms</li><li>Drive execution from concept to launch; iterate quickly based on feedback and learnings</li><li>Partner deeply with design, research and data science to deeply understand consumers and their pain points</li></ul>Qualifications<ul><li>8+ years of experience, ideally with a significant fraction in a consumer-facing product management role</li><li>Has successfully launched 0-to-1 products or major features</li><li>Thrives in ambiguity. Generates clarity that enables the broader team across engineering, design and marketing to execute</li><li>Strong product sense and taste. Can balance craft, attention-to-detail and quantitative outcomes</li><li>Adept at crystallizing consumer needs, motivations, and pain points into a coherent roadmap and product vision</li><li>Excellent communicator in written and verbal settings with cross-functional partners</li><li>[Nice to Have] Experience building anti-fraud or ML-driven products</li></ul><div>The target base salary for this position ranges from $202,800/year to $330,000/year in Zone 1. The target base salary will vary based on the job's location. </div><div><br /></div><div>Our geographic zones are as follows:</div><div>Zone 1 - New York City and San Francisco Bay Area </div><div>Zone 2 - Los Angeles, Seattle, Washington D.C.</div><div>Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego</div><div>Zone 4 - Raleigh-Durham and all other US cities</div><div><br /></div><div>The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div><br /></div><div>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div><br /></div><div>At Plaid, our mission is to build the infrastructure that makes financial services more accessible and reliable—enabling businesses and consumers to move money and manage finances with trust and scale. The Payments Transfer team is central to that mission: we build a multi-rail payment platform to move money between bank accounts for millions of people in the United States.</div><div><br /></div><div>You will define the future architecture of our Payments Transfer systems, ensuring they are reliable, scalable, and built for long-term growth. Additionally, you will execute against an ambitious product roadmap while partnering closely with product and cross-functional teams.</div>Responsibilities<ul><li>Lead the technical direction of the transfer system including transfer customer onboarding, billing, bookkeeping, payments processing, reconciliation systems.</li><li>Collaborate across product, design, operations, partnership, and legal teams to make sure the technical solution meets business needs.</li><li>Discover system quality and reliability opportunities  and proactively drive improvements and technical roadmap.</li><li>Work hands-on: write and review technical designs, write and review code, lead major technical initiatives and new feature development.</li><li>Mentor engineers and contribute to a strong, inclusive team culture.</li></ul>Requirements<ul><li>At least 3-5 years working on payments, billing, invoicing or other financial infrastructure systems.</li><li>Proven track record of building and operating systems that process payments at scale (e.g., high throughput, high reliability, complex flows such as refunds, settlement).</li><li>Strong proficiency in distributed system design, architecture, performance optimization, observability, reliability engineering.</li><li>Experience setting and maintaining engineering best practices (testing, code review, continuous <span class="long-word">integration/deployment,</span> on-call practices).</li><li>Excellent communication: able to engage with <span class="long-word">business/product/operations</span> stakeholders, articulate technical trade-offs, drive alignment.</li><li>[Nice to have] Experience with modern payment rails (e.g., ACH, real-time bank payments, open banking rails) and multi-rail payments architectures</li></ul><div>The target base salary for this position ranges from $202,800/year to $330,000/year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div><br /></div><div>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div><br /></div><div>Plaid’s Data team is building models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art machine learning and modeling techniques -- including natural language processing, anomaly detection, optimization, and time series forecasting -- toward different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork</div><div><br /></div><div>You’ll be a data scientist-machine learning as a part of the Data org, contributing to diverse, high-impact data insights and machine learning challenges. Specifically, you will focus on driving business impact, and production directions through data analysis and potentially help evaluate and improve ML solutions and systems. If you're interested in building state-of-the-art Data/ML solutions to unblock financial freedom for everyone, let's chat!</div><div><br /></div><div>If you’re excited about building state-of-the-art data and machine learning solutions that help unlock financial freedom for everyone, we’d love to hear from you!</div>Responsibilities<ul><li>Applying your expertise in quantitative analysis, data mining, and data visualization to build models and insights</li><li>Identifying useful signals that can be fed into machine learning models </li><li>Informing and influencing product and engineering teams through your data analysis and presentations</li><li>Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid </li><li>Championing a data-first approach toward decision-making across the entire organization</li></ul>Qualifications<ul><li>1-4 years years of industry experience in a financial services Data Science role</li><li>Deep familiarity with SQL and python</li><li>Experiencing constructing models in a regulated industry</li><li>Familiarity with the AWS stack</li><li>Understanding of modern machine learning techniques, such as classification, clustering, optimization, and natural language processing</li><li>Proven ability to tailor your solutions to business problems in a cross-functional team</li><li>Ability to code and iterate independently in Python to conduct exploratory data analysis</li><li>Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field</li></ul><div>The target base salary for this position ranges from $162,000/year to $279,600/year in Zone 1. The target base salary will vary based on the job's location. </div><div><br /></div><div>Our geographic zones are as follows:</div><div>Zone 1 - New York City and San Francisco Bay Area</div><div>Zone 2 - Los Angeles, Seattle, Washington D.C.</div><div>Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego</div><div>Zone 4 - Raleigh-Durham and all other US cities</div><div><br /></div><div>Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div><br /></div><div>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div><br /></div><div>This team is the Engineering function within Plaid's security organization and is dedicated to developing industry-leading security systems and infrastructure. This team is responsible for critical services such as secure data storage, key management systems, and internal platforms for identity, authentication, permissions, and authorization. We focus on developing solutions for data encryption, key management, access control, and data loss prevention to safeguard sensitive consumer data. Embracing a Zero Trust<b> </b>security model, the team continuously seeks to enhance Plaid's authentication and access control platforms.</div><div><br /></div><div>In this role, you'll be responsible for developing security capabilities for both Plaid's infrastructure and sensitive data access. You'll own, maintain, and build essential security infrastructure and services, including the Key Management System and Secure Token Service. A key part of your work will involve consulting with product engineers to ensure all Plaid services adhere to security standards. You'll also educate and support other engineering teams, helping them improve security within their own products and services, and contribute to Plaid's incident response and security awareness programs. Finally, you'll collaborate closely with other security platform members to develop necessary engineering solutions that meet their specific needs.</div>Responsibilities<ul><li>Develop maintainable and secure software to enhance Plaid's infrastructure and protect sensitive data.</li><li>Communicate effectively with managers and team members regarding project deliverables and progress.</li><li>Design and implement technical solutions that align with the evolving needs of the business.</li><li>Proactively identify and address security vulnerabilities in products and services.</li><li>Actively participate in incident response and security awareness initiatives.</li></ul>Qualifications<ul><li>Experience building scalable systems and services.</li><li>Ability architecting software systems to meet security, privacy, usability, scalability and cost requirements.</li></ul><div><br /></div><div>While these experience and characteristics are not prerequisites, candidates who possess them would be well-suited for the role:</div><ul><li>Experience building systems or services related to data encryption, key management, secret management, certificate management, transport security, user authentication, device authentication, service authentication, permission management, authorization systems, and security policy enforcement.</li><li>Experience with securing critical and sensitive information assets.</li><li>Experience with data platforms and data infrastructure.</li><li>Experience with threat modeling, security architecture reviews, or incident response.</li><li>Passionate about educating others on security and privacy.</li></ul><div>The target base salary for this position ranges from $207,600/year to $310,800/year.</div><div><br /></div><div>Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div><br /></div><div>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-Hybrid</div><div><br /></div><div>The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them.</div><div><br /></div><div>You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc.</div>Responsibilities<ul><li>Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles.</li><li>Have data quality and performance top of mind while designing datasetsLeading key data engineering projects that drive collaboration across the company.</li><li>Advocating for adopting industry tools and practices at the right timeOwning core SQL and python data pipelines that power our data lake and data warehouse.</li><li>Well-documented data with defined dataset quality, uptime, and usefulness.</li></ul>Qualifications<ul><li>4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale.</li><li>You’ve have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes)</li><li>You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow.</li><li>You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks.</li><li>You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka.</li><li>You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data.</li><li>You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption.</li><li>You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure.</li><li>You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs.</li><li>You are a champion for data privacy and integrity, and always act in the best interest of consumers.</li></ul><div>The target base salary for this position ranges from $180,000/year to $270,000/year in Zone 1. The target base salary will vary based on the job's location. </div><div><br /></div><div>Our geographic zones are as follows: </div><div>Zone 1 - New York City and San Francisco Bay Area </div><div>Zone 2 - Los Angeles, Seattle, Washington D.C.</div><div>Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego</div><div>Zone 4 - Raleigh-Durham and all other US cities</div><div><br /></div><div>Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div><br /></div><div>Plaid’s Product team builds the network that powers the future of financial services. Our mission is to unlock financial freedom for everyone through open finance. Product Managers at Plaid are curious, customer-obsessed, and move fast to deliver value. They take ownership, sweat the details, and make sound decisions with imperfect information.</div><div><br /></div><div>As a PM on our Fraud team, you’ll build trusted systems that detect and prevent fraud across our network. You’ll protect users and customers from bad actors while helping good users onboard with confidence. Partnering with engineering, data science, and go-to-market, you’ll define problems, ship scalable solutions, and make Plaid’s platform safer and more resilient.</div><div><br /></div><div>This role is for an early-career PM who wants to learn fast, build impactful products, and collaborate across teams to protect the financial ecosystem.</div>Responsibilities<ul><li>Own a product surface: define problems, write requirements, and drive execution.</li><li>Contribute to the roadmap using customer feedback and data insights.</li><li>Build with excellence alongside Engineering and Data Science.</li><li>Measure impact and iterate to improve detection accuracy and reliability.</li><li>Communicate clearly, align stakeholders, and document tradeoffs.</li><li>Take initiative, simplify complexity, and move fast in ambiguity.</li><li>Seek feedback, stay humble, and help raise the bar.</li></ul>Qualifications<ul><li>1–4 years in a product role (PM, APM, startup operator, founder, or product analyst)</li><li>Proven experience launching products end to end</li><li>Strong product and analytical thinking; able to turn insights into features</li><li>Skilled collaborator with Engineering and Data Science</li><li>Clear communicator who simplifies complex ideas</li><li>Comfortable in fast-moving, ambiguous environments</li><li>Passionate about technology, data, and protecting users from fraud</li><li>[Nice to Have] Experience in fraud, risk, or security products</li><li>[Nice to Have] Familiarity with ML systems, APIs, or data platforms</li><li>[Nice to Have] Basic data and design fluency (SQL, dashboards, Figma, Miro)</li></ul><div>The target base salary for this position ranges from $163,200/year to $223,200/year in Zone 1. The target base salary will vary based on the job's location. </div><div><br /></div><div>Our geographic zones are as follows:</div><div>Zone 1 - New York City and San Francisco Bay Area </div><div>Zone 2 - Los Angeles, Seattle, Washington D.C.</div><div>Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego</div><div>Zone 4 - Raleigh-Durham and all other US cities</div><div><br /></div><div>Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div><br /></div><div>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div><br /></div><div>Plaid’s Data team is building data insights and models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art data analytics techniques to different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork.</div><div><br /></div><div>You’ll be a data scientist as a part of the Data organization, contributing to diverse, high-impact data insights and machine learning challenges. Specifically, you will focus on driving business impact, and production directions through data analysis and potentially help evaluate and improve ML solutions and systems. If you're interested in building state-of-the-art Data/ML solutions to unblock financial freedom for everyone, let's chat!</div>Responsibilities<ul><li>Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products</li><li>Conducting large-scale A/B experiments</li><li>Identifying useful signals that can be fed into machine learning models. </li><li>Informing and influencing product and engineering teams through your data analysis and presentations</li><li>Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid </li><li>Championing a data-first approach toward decision-making across the entire organization.</li></ul>Qualifications<ul><li>5+ years of industry experience in a product-focused Data Science role</li><li>Deep familiarity with SQL and data visualization tools</li><li>Experiencing conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations</li><li>Familiarity with the AWS stack</li><li>Understanding of modern machine learning (ML) techniques, such as classification, clustering, optimization, deep neural network, and natural language processing</li><li>Proven ability to tailor your solutions to business problems in a cross-functional team</li><li>Ability to code and iterate independently in Python to conduct exploratory data analysis</li><li>Experience building data pipelines in DBT or Airflow is a plus</li><li>Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field</li></ul><div>The target base salary for this position ranges from $174,000/year to $260,400/year in Zone 1. The target base salary will vary based on the job's location. </div><div><br /></div><div>Our geographic zones are as follows:</div><div>Zone 1 - New York City and San Francisco Bay Area</div><div>Zone 2 - Los Angeles, Seattle, Washington D.C.</div><div>Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego</div><div>Zone 4 - Raleigh-Durham and all other US cities</div><div><br /></div><div>Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div><br /></div><div>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

Plaid Job Openings

Prepare for and practice Plaid interview questions.

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Random Bucketing	A/B Testing & Experimentation	Medium	Very High